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市場調査レポート
商品コード
1647534
数値流体力学(CFD)市場規模、シェア、成長分析:展開モデル別、エンドユーザー別、地域別 - 産業予測 2025年~2032年Computational Fluid Dynamics (CFD) Market Size, Share, and Growth Analysis, By Deployment Model (Cloud-Based Model, On-Premises Model), By End-User (Automotive, Aerospace and Defense), By Region - Industry Forecast 2025-2032 |
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数値流体力学(CFD)市場規模、シェア、成長分析:展開モデル別、エンドユーザー別、地域別 - 産業予測 2025年~2032年 |
出版日: 2025年01月29日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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数値流体力学(CFD)市場規模は2023年に25億7,000万米ドルとなり、予測期間(2025-2032年)のCAGRは8.9%で、2024年の28億米ドルから2032年には55億4,000万米ドルに成長する見通しです。
数値流体力学(CFD)は、多様な環境における流体や気体の挙動をモデル化しようとするエンジニアや企業にとって不可欠なツールとして登場しました。高度な数学的アルゴリズムを活用するCFDは、航空宇宙、自動車、エネルギー、環境工学などの産業に不可欠な複雑な流体力学の課題に取り組んでいます。その応用範囲は、自動車の冷却システムの強化から航空機の翼の空気力学の最適化まで多岐にわたります。コンピューティングパワーとシミュレーション技術の向上に伴い、CFD市場は、精密な流体力学シミュレーションの必要性によって、大きな成長を遂げようとしています。さらに、CFDは仮想テストを可能にし、物理的なプロトタイプに関連するコストと時間を大幅に削減します。AIと機械学習がCFDツールに統合されたことで、予測能力がさらに向上し、市場の進歩が促進され、仮想プロトタイプを活用する企業が増えています。
Computational Fluid Dynamics (CFD) Market size was valued at USD 2.57 billion in 2023 and is poised to grow from USD 2.8 billion in 2024 to USD 5.54 billion by 2032, growing at a CAGR of 8.9% during the forecast period (2025-2032).
Computational Fluid Dynamics (CFD) has emerged as an essential tool for engineers and companies seeking to model fluid and gas behavior across diverse environments. Utilizing sophisticated mathematical algorithms, CFD tackles complex fluid dynamics challenges integral to industries like aerospace, automotive, energy, and environmental engineering. Its applications range from enhancing vehicle cooling systems to optimizing aircraft wing aerodynamics. As computing power and simulation techniques improve, the CFD market is poised for significant growth, driven by the need for precise fluid dynamics simulations. Furthermore, CFD enables virtual testing, drastically reducing the costs and time associated with physical prototypes. The integration of AI and machine learning into CFD tools has further advanced predictive capabilities, propelling market progress and attracting more companies to leverage virtual prototypes.
Top-down and bottom-up approaches were used to estimate and validate the size of the Computational Fluid Dynamics (Cfd) market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Computational Fluid Dynamics (Cfd) Market Segments Analysis
Global Computational Fluid Dynamics (CFD) Market is segmented by Deployment Model, End-User and region. Based on Deployment Model, the market is segmented into Cloud-Based Model and On-Premises Model. Based on End-User, the market is segmented into Automotive, Aerospace and Defense, Electrical and Electronics, Industrial Machinery, Energy, Material and Chemical Processing, Healthcare and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Computational Fluid Dynamics (Cfd) Market
The Computational Fluid Dynamics (CFD) market has experienced significant growth, largely driven by substantial advancements in computing capabilities over the past decade, propelled by innovations in information technology and big data. These enhanced computing systems empower scientists and engineers to tackle complex fluid dynamics challenges more effectively. Furthermore, improvements in solver algorithms and parallel processing techniques have allowed engineers to generate multiple design and modeling options in a fraction of the time previously required. Consequently, this has led to a marked increase in demand for CFD software, as its applications span a variety of industries, making it an essential tool for modern engineering solutions.
Restraints in the Computational Fluid Dynamics (Cfd) Market
While Computational Fluid Dynamics (CFD) offers significant cost savings for end users in operational efficiency, the initial investment can be a major barrier. The substantial one-time expenses related to software licensing and the acquisition of necessary hardware present a considerable challenge. Furthermore, ongoing software maintenance and the need to invest in skilled personnel for effective utilization also contribute to elevated overall costs. These factors are anticipated to serve as key restraints, limiting the potential growth in demand for CFD solutions in the market, as organizations weigh the benefits against the high upfront and ongoing expenditure.
Market Trends of the Computational Fluid Dynamics (Cfd) Market
The Computational Fluid Dynamics (CFD) market is experiencing significant growth as companies increasingly prioritize rapid product development to maintain competitive advantage. With heightened market pressures, businesses are leveraging CFD software to streamline the design and testing phases of product development, effectively shortening the time it takes to bring innovations to market. This acceleration not only enhances efficiency but also decreases associated costs linked to prototyping and testing. In turn, this trend is fostering greater adoption of CFD solutions across various industries, including aerospace, automotive, and manufacturing, as organizations seek to optimize performance and reduce time-to-market for new offerings.